Inspecting Data Quality

Attention

Work in progress …

After loading and initial inspection of raw gaze data, the next step is to assess data quality. High-quality data is essential for reliable analysis and interpretation of eye-tracking results. Common data quality issues include missing data, noise, drift, and artifacts caused by blinks or head movements.